Vice President, Cloud Automation Engineer

About the role

Morgan Stanley's Public Cloud Foundation Engineering (CFE) team within Enterprise Technology & Services builds innovative technology solutions enabling the firm to migrate and operate applications on public cloud providers efficiently. The Vice President, Cloud Automation Engineer is a hands-on leadership role focused on developing and designing automation platforms for multi-cloud infrastructure orchestration and provisioning. Day-to-day work includes constructing automated cloud foundations, establishing self-service provisioning platforms, implementing policy-driven orchestration using Infrastructure as Code, collaborating with global teams, mentoring junior engineers, and delivering production-grade solutions that comply with banking regulatory, security, and resiliency standards. Location: Bengaluru, India.

What you’ll do

• Lead and participate in the design and development of platforms providing self-service capabilities for public cloud environments (Azure, GCP, AWS)
• Enhance and integrate cloud service provider (CSP) automation frameworks with in-house tools
• Provide technical leadership and guidance throughout design and implementation phases
• Lead and participate in code reviews, mentoring junior engineers in development and architectural best practices
• Define and document Architecture Decision Records (ADRs) to ensure team alignment with architectural choices
• Collaborate with stakeholders and infrastructure teams to improve the developer experience at Morgan Stanley
• Work alongside global application developers and infrastructure engineers
• Produce proof of concepts in emerging areas

What you’ll bring

• 10+ years of hands-on experience in developing and designing applications using Python, Golang, and Terraform
• Expertise in at least one public cloud platform: Azure, GCP, or AWS
• Proficiency with database technologies, preferably NoSQL, including modelling, testing, and performance tuning
• Solid understanding of object-oriented design and development principles
• Expertise in Linux environments
• Experience with Behaviour-Driven Development (BDD) frameworks, such as Cucumber/Gherkin, GoDog, or behave
• Competency in version control systems (git) and CI/CD tools (Jenkins, GHEC Actions)
• Strong understanding of SDLC, Agile and DevOps methodologies and tools

Skills